ML Ops with Azure

2 dni temu

Warszawa, Polska Square One Resources Sp. z o.o. Pełny etat

As a key member of the Data Science Hub Europe you will be part of a team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts and engineers to build, scale and operate our machine learning & analytics platform. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

ML Ops with Azure / Databricks


Your responsibilities

  • Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
  • Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
  • Write well-designed, testable, efficient code
  • Work closely with engineering to continuously improve the way we consume data and deploy models in production
  • Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
  • Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies

Our requirements

  • 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
  • Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
  • Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
  • Proven experience with software development best practices including testing, continuous integration, and DevOps tools
  • Good understanding of data science lifecycle and the way data scientists work to deliver value
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
  • Attention to clarity of code, ease of development, and correctness of implementations
  • Business-ready command of English, written and spoken
  • Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
  • Experience in Azure cloud resource setup for purposes of data solutions
  • Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
  • Practice in coaching / mentoring younger team members in your expertise areas

What we offer

  • Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
  • Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
  • Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
  • Support in building your ML / data ops skills and portfolio through participation and presenting at conferences and events
  • Opportunities to develop further in our Data Science Hub as well as in the international organization

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